stop_clip
AI agents invoke stop_clip to trigger actions in AbletonMCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool executes a command that changes the state of a running audio clip in Ableton Live. While not destructive (the clip remains; playback just halts) and not a Read operation (it modifies state), it is Execute because it triggers an external operation whose outcome depends on context (which clip is stopped, playback state, session state).
From the tool's definition Tool named 'stop_clip' with empty description; context indicates it controls Ableton Live playback/session state.
Attacks that exploit this kind of access
stop_clip. It is categorised as a Execute tool in the AbletonMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Ableton MCP server in PolicyLayer and add a rule for stop_clip: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AbletonMCP. Nothing to install.
stop_clip is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the stop_clip rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for stop_clip. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
stop_clip is provided by the Ableton MCP server (milesy1/mcp-ableton-api). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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